A5070702288- COVID-19 and healthcare impacts
- Infection Control and Ventilation
- Emergency and Acute Care Studies
- COVID-19 diagnosis using AI
- Climate Change and Health Impacts
- Disaster Response and Management
- Telemedicine and Telehealth Implementation
- Emergency Medicine Education and Research
- Artificial Intelligence in Healthcare and Education
- Trauma and Emergency Care Studies
- Healthcare Policy and Management
- Artificial Intelligence in Healthcare
- Birth, Development, and Health
- Energy and Environment Impacts
- Hate Speech and Cyberbullying Detection
- Pericarditis and Cardiac Tamponade
- Medical Education and Admissions
- Pharmaceutical industry and healthcare
- COVID-19 and Mental Health
- Pneumothorax, Barotrauma, Emphysema
- Wikis in Education and Collaboration
- Health, Environment, Cognitive Aging
- Electronic Health Records Systems
- Hospital Admissions and Outcomes
- Reproductive Health and Technologies
Beth Israel Deaconess Medical Center
2025
Brigham and Women's Hospital
2020-2023
Harvard University
2022-2023
Mass General Brigham
2022
Massachusetts Institute of Technology
2020-2021
Massachusetts General Hospital
2020-2021
Harvard Affiliated Emergency Medicine Residency
2020-2021
Allen Institute
2020
Emerson (United States)
2020
Duke University
2012
The COVID-19 pandemic has accelerated methods to facilitate contactless evaluation of patients in hospital settings. By minimizing in-person contact with individuals who may have COVID-19, healthcare workers can prevent disease transmission and conserve personal protective equipment. Obtaining vital signs is a ubiquitous task that commonly done person by workers. To eliminate the need for sign measurement setting, we developed Dr. Spot, mobile quadruped robotic system. system includes IR RGB...
Recent scholarship has revealed racial disparities in emergency department (ED) physical restraint use agitation management. We implemented an interdisciplinary educational program that integrates discussions about the role of bias with workplace violence (WPV) prevention strategies to increase awareness implicit and comfort verbal de-escalation among ED staff. In partnership hospital security at a large urban academic medical center, we developed 1-hour online WPV prerequisite course...
To compare the impact of respirator extended use and reuse strategies with regard to cost sustainability during COVID-19 pandemic.
Racism impacts patient care and clinical training in emergency medicine (EM), but dedicated racism is not required graduate medical education. We designed an innovative health equity retreat to teach EM residents about forms of skills for responding racial inequities environments. The three-hour occurred during the residency didactic conference maximize resident participation. prioritized facilitated reflection on residents' own experiences race order emphasize these concepts' relevance all...
Medical data poses a daunting challenge for AI algorithms: it exists in many different modalities, experiences frequent distribution shifts, and suffers from scarcity of examples labels. Recent advances, including transformers self-supervised learning, promise more universal approach that can be applied flexibly across these diverse conditions. To measure drive progress this direction, we present BenchMD: benchmark tests how well unified, modality-agnostic methods, architectures training...
<h3>Importance</h3> Adoption of mask wearing in response to the COVID-19 pandemic alters daily communication. <h3>Objective</h3> To assess communication barriers associated with patient-clinician interactions and individuals who are deaf hard hearing. <h3>Design, Setting, Participants</h3> This pilot cross-sectional survey study included general population, health care workers, workers or hearing United States. Volunteers were sampled via an opt-in panel nonrandomized convenience sampling....
<h3>Importance</h3> Before the widespread implementation of robotic systems to provide patient care during COVID-19 pandemic occurs, it is important understand acceptability these among patients and economic consequences associated with adoption robotics in health settings. <h3>Objective</h3> To assess feasibility using a mobile system facilitate tasks. <h3>Design, Setting, Participants</h3> This study included 2 components: national survey examine perform tasks hospital setting single-site...
<strong>Background:</strong> Most Emergency Departments (EDs) in low- and middle-income countries (LMICs), particularly Pakistan, are staffed by physicians not formally trained Medicine (EM). As of January 2022, there were only 13 residency training programs EM throughout all Pakistan. Therefore, an intermediate solution—a one-year program EM—was developed to build capacity. <strong>Objective:</strong> To determine the impact a novel on clinical metrics outcomes. <strong>Methods:</strong>...
Abstract Aims Determining which patients with pericardial effusion require urgent intervention can be challenging. We sought to develop a novel, simple risk prediction score for effusion. Methods and results Adult admitted through the emergency department (ED) were retrospectively evaluated. The overall cohort was divided into derivation validation generation of novel using logistic regression. primary outcome drainage procedure or death attributed cardiac tamponade within 24 h ED arrival....
Received: 22 September 2022 Accepted after revision: 02 December Manuscript online:19
Pakistan has an underdeveloped and overburdened emergency care system, with most departments (EDs) staffed by physicians not formally trained in medicine (EM). As of January 2020, only nine Pakistani institutions were providing formal EM specialty training; therefore, a training program shorter duration is needed the interim.
Mask adherence continues to be a critical public health measure prevent transmission of aerosol pathogens, such as SARS-CoV-2. We aimed develop and deploy computer vision algorithm provide real-time feedback mask wearing among staff in hospital.
Background: The COVID-19 pandemic has led to N95 respirator shortages worldwide. We compare several extended use and reuse strategies with regard cost sustainability.Methods: developed a model estimate usage, costs, waste incurred by usage over the first 6-months of in United States. This assumed universal masking all healthcare workers. Estimates were taken from literature, government databases, commercially available data approved vendors.Findings: A new per patient encounter would require...
Poverty and socioeconomic disadvantage are associated with environmental inequalities such as exposure to hazardous air pollutants. Children from low-income communities living in highly polluted cities tend exhibit higher rates of depression, anxiety, attention disorders. Early pollution may play a part this trend. A postulated mechanism for is that maternal traffic-related pollutants can trigger an immune response the mother. This inflammatory be transferred fetus via placenta, resultant...
Abstract Objective To understand the acceptability of patient-facing mobile robotic systems on a national scale, conduct pilot feasibility study to deploy and measure satisfaction associated with clinical evaluation using telehealth robot in emergency department (ED) build decision analytic model gauge potential system prevent COVID-19 infections conserve personal protective equipment ED. Design Mixed comprising an online sampling-based survey, single-site observational trial development...